MinShap: A Shapley-Based Framework for Feature Redundancy | Paper Citation Record

Observation 0faf28d7-435c-4c5e-99d0-5f071e956531 · outbound

This paper cites Aliferis, Alexander Statnikov, Ioannis Tsamardinos, Subramani Mani, and Xenofon D.

MinShap: A Shapley-Based Framework for Feature Redundancy Aliferis, Alexander Statnikov, Ioannis Tsamardinos, Subramani Mani, and Xenofon D

Reference 1

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Observation 55442325-ad1d-423e-9365-14eeb88e3451 · outbound

This paper cites Screening for Partial Conjunction Hypotheses.Biometrics, 64(4):1215–1222, 2008.

MinShap: A Shapley-Based Framework for Feature Redundancy Screening for Partial Conjunction Hypotheses.Biometrics, 64(4):1215–1222, 2008

Reference 2

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Observation da11bd43-3300-4111-a3f8-0fbe3ad3955c · outbound

This paper cites Inference and Prediction Diverge in Biomedicine.Patterns (New York, N.Y.), 1(8):100119, 2020.

MinShap: A Shapley-Based Framework for Feature Redundancy Inference and Prediction Diverge in Biomedicine.Patterns (New York, N.Y.), 1(8):100119, 2020

Reference 3

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Observation fef232ab-a332-4c64-9982-2c3de200a5f4 · outbound

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MinShap: A Shapley-Based Framework for Feature Redundancy Unresolved cited work

Reference 4

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Observation ba25c6d1-bd90-4bc0-bd83-bed8b481b6b6 · outbound

This paper cites an unresolved cited work.

MinShap: A Shapley-Based Framework for Feature Redundancy Unresolved cited work

Reference 5

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Observation 0563b3a3-3b95-440d-99e5-9a1757fd275e · outbound

This paper cites Polynomial calculation of the Shapley value based on sampling.Computers & Operations Research, 36(5):1726–1730, 2009.

MinShap: A Shapley-Based Framework for Feature Redundancy Polynomial calculation of the Shapley value based on sampling.Computers & Operations Research, 36(5):1726–1730, 2009

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:26.314079Z

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Observation 3fe03941-6815-4455-a655-1e25668e0cef · outbound

This paper cites Covert, Scott M.

MinShap: A Shapley-Based Framework for Feature Redundancy Covert, Scott M

Reference 7

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Observation 0274dc62-7d9c-4312-a8ac-a743ab8222e7 · outbound

This paper cites Analysis and Forecasting of California Housing.Highlights in Business, Economics and Management, 3:128–135, 2023.

MinShap: A Shapley-Based Framework for Feature Redundancy Analysis and Forecasting of California Housing.Highlights in Business, Economics and Management, 3:128–135, 2023

Reference 8

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Observation e3865ff3-60c9-4744-a86a-53741a350a9c · outbound

This paper cites Modeling wine preferences by data mining from physicochemical properties.Decision Support Systems, 47(4):547–553, 2009.

MinShap: A Shapley-Based Framework for Feature Redundancy Modeling wine preferences by data mining from physicochemical properties.Decision Support Systems, 47(4):547–553, 2009

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:26.626769Z

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Observation fc7a03ed-146a-44cf-aff8-43b391e9938d · outbound

This paper cites Lundberg, and Su-In Lee.

MinShap: A Shapley-Based Framework for Feature Redundancy Lundberg, and Su-In Lee

Reference 10

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Observation f14cb172-8bd9-42fa-9291-055b938549d3 · outbound

This paper cites Least angle regression.

MinShap: A Shapley-Based Framework for Feature Redundancy Least angle regression

Reference 11

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Observation 81f108d1-257f-4921-ba9d-0bf9bf797438 · outbound

This paper cites Shapley Values for Feature Selection: The Good, the Bad, and the Axioms.IEEE Access, 9:144352–144360, 2021.

MinShap: A Shapley-Based Framework for Feature Redundancy Shapley Values for Feature Selection: The Good, the Bad, and the Axioms.IEEE Access, 9:144352–144360, 2021

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:26.903651Z

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Observation 935fc8f4-a361-4f22-aea8-560118591fcf · outbound

This paper cites Lazy estimation of variable importance for large neural networks.

MinShap: A Shapley-Based Framework for Feature Redundancy Lazy estimation of variable importance for large neural networks

Reference 13

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Observation 287eb641-b3f3-4ab6-a42a-9d78edac3c03 · outbound

This paper cites Conditional Feature Selection: Evaluating Model Averaging When Selecting Features with Shapley Values.Geomatics, 4(3):286–310, September 2024.

MinShap: A Shapley-Based Framework for Feature Redundancy Conditional Feature Selection: Evaluating Model Averaging When Selecting Features with Shapley Values.Geomatics, 4(3):286–310, September 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:27.098254Z

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Observation bd8b991e-9db7-4ced-a8e4-96908e0a6057 · outbound

This paper cites Machine learning-based predictive modelling for the enhancement of wine quality.Scientific Reports, 13(1):17042, 2023.

MinShap: A Shapley-Based Framework for Feature Redundancy Machine learning-based predictive modelling for the enhancement of wine quality.Scientific Reports, 13(1):17042, 2023

Reference 15

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Observation e38276d6-23c1-44c6-8b27-644fee15579c · outbound

This paper cites Feature relevance quantification in explainable AI: A causal problem.

MinShap: A Shapley-Based Framework for Feature Redundancy Feature relevance quantification in explainable AI: A causal problem

Reference 16

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Observation b8e759e7-eea3-4f4f-90a0-62b5e53c97e8 · outbound

This paper cites Predicting generalized anxiety disorder among women using Shapley value.Journal of infection and public health, 14(1):103–108, 2021.

MinShap: A Shapley-Based Framework for Feature Redundancy Predicting generalized anxiety disorder among women using Shapley value.Journal of infection and public health, 14(1):103–108, 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:27.387861Z

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Observation 6ab8b1f2-e3a8-4865-8903-dc5940eb4e73 · outbound

This paper cites A review of feature selection methods with applications.

MinShap: A Shapley-Based Framework for Feature Redundancy A review of feature selection methods with applications

Reference 18

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Observation dbb3ca06-b6f0-4466-aa19-406abe241ef6 · outbound

This paper cites Cross-validated permutation feature importance considering correlation between features.Analytical Science Advances, 3(9-10):278–287, September 2022.

MinShap: A Shapley-Based Framework for Feature Redundancy Cross-validated permutation feature importance considering correlation between features.Analytical Science Advances, 3(9-10):278–287, September 2022

Reference 19

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Observation e8d9c11f-4b34-4dd7-9da1-d6e793db2c65 · outbound

This paper cites BorutaShap: A wrapper feature selection method which combines the Boruta feature selection algorithm with Shapley values.Zenodo, 2020.

MinShap: A Shapley-Based Framework for Feature Redundancy BorutaShap: A wrapper feature selection method which combines the Boruta feature selection algorithm with Shapley values.Zenodo, 2020

Reference 20

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Observation dfbcf924-7a99-42bc-b045-ca3868a5fdc6 · outbound

This paper cites Kelley Pace and Ronald Barry.

MinShap: A Shapley-Based Framework for Feature Redundancy Kelley Pace and Ronald Barry

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:27.712378Z

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Observation 4bb2b9bb-413b-434a-bbbf-d9a9ac1dfa34 · outbound

This paper cites Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, and Sorelle Friedler.

MinShap: A Shapley-Based Framework for Feature Redundancy Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, and Sorelle Friedler

Reference 22

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Observation 1a0e9845-aa4a-441f-918f-3edd8a489176 · outbound

This paper cites Tibshirani, and Larry Wasserman.

MinShap: A Shapley-Based Framework for Feature Redundancy Tibshirani, and Larry Wasserman

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:27.901791Z

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Observation 79a55cc0-8ed3-4227-92a0-ee51cd31a6fc · outbound

This paper cites Lundberg and Su-In Lee.

MinShap: A Shapley-Based Framework for Feature Redundancy Lundberg and Su-In Lee

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:28.021534Z

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Observation 98f66b7c-c581-41cd-8f80-662f25f2717c · outbound

This paper cites Penalized feature selection and classification in bioinformatics.

MinShap: A Shapley-Based Framework for Feature Redundancy Penalized feature selection and classification in bioinformatics

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:28.172193Z

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Observation 2a292782-a17b-4137-8fa7-f846fd66c2d4 · outbound

This paper cites Predictive and Causal Implications of using Shapley Value for Model Interpretation, 2020.

MinShap: A Shapley-Based Framework for Feature Redundancy Predictive and Causal Implications of using Shapley Value for Model Interpretation, 2020

Reference 26

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Observation 9555b959-c2cb-458f-a189-448926c0b558 · outbound

This paper cites Conditional independence testing under misspecified inductive biases.Advances in Neural Information Processing Systems, 36:58577–58612, 2023.

MinShap: A Shapley-Based Framework for Feature Redundancy Conditional independence testing under misspecified inductive biases.Advances in Neural Information Processing Systems, 36:58577–58612, 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:28.381945Z

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Observation 35ba1cf8-a494-409d-a237-e9009cbdf669 · outbound

This paper cites Marcílio and Danilo M.

MinShap: A Shapley-Based Framework for Feature Redundancy Marcílio and Danilo M

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:28.422731Z

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Observation 7edd3520-a14d-4622-80c7-fb9f0de827dc · outbound

This paper cites Stability selection.Journal of the Royal Statistical Society Series B: Statistical Methodology, 72(4):417–473, 2010.

MinShap: A Shapley-Based Framework for Feature Redundancy Stability selection.Journal of the Royal Statistical Society Series B: Statistical Methodology, 72(4):417–473, 2010

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:28.485653Z

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Observation f7977178-1a80-42c6-8110-af53da9249b0 · outbound

This paper cites Robust and stable gene selection via maximum–minimum correntropy criterion.

MinShap: A Shapley-Based Framework for Feature Redundancy Robust and stable gene selection via maximum–minimum correntropy criterion

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Observation ecb4e367-4a9b-4d5b-98d1-361e4dcb0dc0 · outbound

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MinShap: A Shapley-Based Framework for Feature Redundancy Unresolved cited work

Reference 31

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Observation bf6a1149-ecbf-4963-8590-d81df45c9c54 · outbound

This paper cites Wright, and Bernd Bischl.

MinShap: A Shapley-Based Framework for Feature Redundancy Wright, and Bernd Bischl

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Observation ffbb6463-4185-4a03-a004-b90448d3b6df · outbound

This paper cites A survey of feature attribution techniques in explainable AI: taxonomy, analysis and comparison.

MinShap: A Shapley-Based Framework for Feature Redundancy A survey of feature attribution techniques in explainable AI: taxonomy, analysis and comparison

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Observation 18071ff5-6ecc-4932-85bb-f3729a602505 · outbound

This paper cites Game-theoretic vocabulary selection via the shapley value and banzhaf index.

MinShap: A Shapley-Based Framework for Feature Redundancy Game-theoretic vocabulary selection via the shapley value and banzhaf index

Reference 34

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Observation 14338de2-605e-4950-9d18-3e0813b21959 · outbound

This paper cites Causal inference in statistics: An overview.Statistics Survey, 2009.

MinShap: A Shapley-Based Framework for Feature Redundancy Causal inference in statistics: An overview.Statistics Survey, 2009

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Observation ef09cb58-bd46-4ce8-9895-083a3623f553 · outbound

This paper cites Mooij, Dominik Janzing, and Bernhard Schölkopf.

MinShap: A Shapley-Based Framework for Feature Redundancy Mooij, Dominik Janzing, and Bernhard Schölkopf

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Observation 97ca2730-eb30-41d6-9d13-2b982fca3ade · outbound

This paper cites The shapley value in machine learning.

MinShap: A Shapley-Based Framework for Feature Redundancy The shapley value in machine learning

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Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:29.252471Z

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Observation c5b51a32-f7ca-4fd7-a57a-a364b7dbba78 · outbound

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MinShap: A Shapley-Based Framework for Feature Redundancy Shah and Jonas Peters

Reference 38

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Observation add8d534-3d00-4240-af87-0d15f2714ae5 · outbound

This paper cites Shah and Richard J.

MinShap: A Shapley-Based Framework for Feature Redundancy Shah and Richard J

Reference 39

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MinShap: A Shapley-Based Framework for Feature Redundancy Unresolved cited work

Reference 40

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MinShap: A Shapley-Based Framework for Feature Redundancy Unresolved cited work

Reference 41

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Observation 032ff499-0266-43fb-b29b-c807c90cfa54 · outbound

This paper cites Aliferis.

MinShap: A Shapley-Based Framework for Feature Redundancy Aliferis

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:30.020723Z

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Observation 6d24d303-be5a-4592-add2-a63c5a326ae6 · outbound

This paper cites The many Shapley values for model explanation.

MinShap: A Shapley-Based Framework for Feature Redundancy The many Shapley values for model explanation

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Observation f26099d6-1994-486c-a621-efae55fe2740 · outbound

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MinShap: A Shapley-Based Framework for Feature Redundancy Unresolved cited work

Reference 44

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Observation 91a079c9-5518-4dac-a0b0-4e0fbf565f65 · outbound

This paper cites SHAP-XRT: The Shapley Value Meets Conditional Independence Testing.Transactions on Machine Learning Research, 2023.

MinShap: A Shapley-Based Framework for Feature Redundancy SHAP-XRT: The Shapley Value Meets Conditional Independence Testing.Transactions on Machine Learning Research, 2023

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Observation 3fc540ea-3059-4988-b28f-bda2f2c89fdc · outbound

This paper cites Hemachandra, and Prashant Trivedi.

MinShap: A Shapley-Based Framework for Feature Redundancy Hemachandra, and Prashant Trivedi

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Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:30.542286Z

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Observation 82fe552c-62d9-4ab1-a7df-1504a6b264a5 · outbound

This paper cites Hemachandra, and Prashant Trivedi.

MinShap: A Shapley-Based Framework for Feature Redundancy Hemachandra, and Prashant Trivedi

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Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:30.720882Z

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Observation 72c44077-806a-4bc4-a40e-806fd302f590 · outbound

This paper cites Geometry of the faithfulness assumption in causal inference.The Annals of Statistics, pages 436–463, 2013.

MinShap: A Shapley-Based Framework for Feature Redundancy Geometry of the faithfulness assumption in causal inference.The Annals of Statistics, pages 436–463, 2013

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Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:30.856238Z

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Observation 124bba78-9499-460e-8759-dcde5be894ce · outbound

This paper cites Decorrelated variable importance.Journal of Machine Learning Research, 25(7):1–27, 2024.

MinShap: A Shapley-Based Framework for Feature Redundancy Decorrelated variable importance.Journal of Machine Learning Research, 25(7):1–27, 2024

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Observation 5a206ca7-4f53-4024-af65-74219a85acc4 · outbound

This paper cites Precision Lasso: account- ing for correlations and linear dependencies in high-dimensional genomic data.Bioinformatics, 35(7):1181–1187, 2019.

MinShap: A Shapley-Based Framework for Feature Redundancy Precision Lasso: account- ing for correlations and linear dependencies in high-dimensional genomic data.Bioinformatics, 35(7):1181–1187, 2019

Reference 50

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Observation a4ed0105-7a38-4b6d-9ee0-ef49e85e19bf · outbound

This paper cites Efficient nonparametric statistical inference on population feature importance using Shapley values.

MinShap: A Shapley-Based Framework for Feature Redundancy Efficient nonparametric statistical inference on population feature importance using Shapley values

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Observation 9b7d707b-d13d-4bad-8d73-17b7cbababc1 · outbound

This paper cites Williamson, Peter B.

MinShap: A Shapley-Based Framework for Feature Redundancy Williamson, Peter B

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Observation 5bcf2dea-36f6-43eb-b296-d5a07da65512 · outbound

This paper cites Wine Feature Importance and Quality Prediction: A Comparative Study of Machine Learning Algorithms with Unbalanced Data.

MinShap: A Shapley-Based Framework for Feature Redundancy Wine Feature Importance and Quality Prediction: A Comparative Study of Machine Learning Algorithms with Unbalanced Data

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Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:31.512349Z

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Observation 9934c454-2f3b-4bad-ad17-3b7449ab43e5 · outbound

This paper cites bmi" (body mass index) and.

MinShap: A Shapley-Based Framework for Feature Redundancy bmi" (body mass index) and

Reference 54

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